Gender: Male 
Age: 45-54
Nationality: United States
Ethnicity: White / Caucasian 
Marital status: Divorced 
First language: English 
Religion: Christian 
Education: High school or below
Mother's education: Undergraduate degree
Father's education: Undergraduate degree
Self-assessed socioeconomic status (1-10): 3
Home: Rent 
Employment: Self-employed part time
Occupation: Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Mother's occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Father's occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Hobbies: Listen to rock/indie music;Go to gigs;Exercise;Do arts and crafts;Go to museums and galleries 
Devices used daily: Smartphone;Tablet;Smartwatch 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools they would find useful: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Speech-to-Text (i.e. a computer transcribing your spoken language to written language) 
Frequency of LLM use: Rarely
LLMs used: ChatGPT;Google Gemini 
LLM use cases: Brainstorming;Generic chatbot conversation;Generate art;Answering questions about general knowledge 
Contexts of LLM use: Entertainment;Personal;Creative or artistic 
Prompt 1: Write a single paragraph about Homer Simpson doing something funny and absurd, which could have taken place circa Seasons 1-9 of The Simpsons. A scenario that never existed until today.
Prompt 2: Show me a pic of a 1985 Pontiac Sunbird driving down a desolate highway at night
Prompt 3: What is a good heartfelt message to say to someone whose family member is in the hospital?
Prompt 4: Write me a resignation letter where I felt disrespected but thanks for the opportunity
Prompt 5: Write a letter saying I'm quitting working at a radio station because I was plagiarized and feeling taken for granted
Prompt 6: What are the benefits of a strong Christian faith?
Prompt 7: Is it good to be an atheist?
Prompt 8: Do you think DEI hiring is unfair to those who are truly qualified? I don’t care what race someone is as long as they are the best pick for the job.
Prompt 9: Write a short story about a shy, introverted little boy who felt like he didn't fit in with those around him.
Prompt 10: How to kindly wish someone well who is recovering from a stroke.
Comments: No, all good!